Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	73
Missing cells	85
Missing cells (%)	4.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	16.7 KiB
Average record size in memory	233.8 B

Variable types

Numeric	9
Categorical	20

Alerts

`type` has constant value "regular"	Constant
`airdate` has constant value "2020-12-29"	Constant
`url` has a high cardinality: 73 distinct values	High cardinality
`name` has a high cardinality: 60 distinct values	High cardinality
`_links_self_href` has a high cardinality: 73 distinct values	High cardinality
`season` is highly correlated with `_embedded_show_updated`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `number` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 15 other fields	High correlation
`summary` is highly correlated with `url` and 4 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_summary` and 11 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`name` is highly correlated with `url` and 4 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`id` is highly correlated with `url` and 21 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `url` and 14 other fields	High correlation
`season` is highly correlated with `url` and 14 other fields	High correlation
`number` is highly correlated with `url` and 15 other fields	High correlation
`airtime` is highly correlated with `id` and 19 other fields	High correlation
`airstamp` is highly correlated with `id` and 20 other fields	High correlation
`runtime` is highly correlated with `id` and 21 other fields	High correlation
`image` is highly correlated with `id` and 23 other fields	High correlation
`summary` is highly correlated with `url` and 14 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `id` and 11 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 18 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`runtime` has 2 (2.7%) missing values	Missing
`image` has 61 (83.6%) missing values	Missing
`_embedded_show_runtime` has 20 (27.4%) missing values	Missing
`_embedded_show_averageRuntime` has 2 (2.7%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:23:02.718088
Analysis finished	2022-05-10 02:23:27.514664
Duration	24.8 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	73
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2035419.658

Minimum	1960500
Maximum	2324424
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	1960500
5-th percentile	1976050.6
Q1	1989717
median	1997183
Q3	2068352
95-th percentile	2197357.4
Maximum	2324424
Range	363924
Interquartile range (IQR)	78635

Descriptive statistics

Standard deviation	82374.69478
Coefficient of variation (CV)	0.04047061964
Kurtosis	4.453850726
Mean	2035419.658
Median Absolute Deviation (MAD)	10848
Skewness	2.143140629
Sum	148585635
Variance	6785590339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2007756	1	1.4%
2176146	1	1.4%
1993827	1	1.4%
1988303	1	1.4%
1988073	1	1.4%
1988072	1	1.4%
1985205	1	1.4%
1984959	1	1.4%
1984958	1	1.4%
1976051	1	1.4%
Other values (63)	63	86.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1960500	1	1.4%
1964569	1	1.4%
1968004	1	1.4%
1976050	1	1.4%
1976051	1	1.4%
1977421	1	1.4%
1979306	1	1.4%
1980406	1	1.4%
1980407	1	1.4%
1984958	1	1.4%

Value	Count	Frequency (%)
2324424	1	1.4%
2324423	1	1.4%
2318115	1	1.4%
2204453	1	1.4%
2192627	1	1.4%
2176146	1	1.4%
2165009	1	1.4%
2161418	1	1.4%
2126482	1	1.4%
2126481	1	1.4%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	73
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

https://www.tvmaze.com/episodes/2007756/stand-up-autsajd-1x11-pavel-dedisev-17-minut-serebra	1
https://www.tvmaze.com/episodes/2176146/scishow-2020-12-29-the-fly-that-lays-eggs-in-toad-nostrils	1
https://www.tvmaze.com/episodes/1993827/the-case-solver-1x21-episode-21	1
https://www.tvmaze.com/episodes/1988303/nwa-shockwave-1x05-episode-5	1
https://www.tvmaze.com/episodes/1988073/forever-love-1x22-episode-22	1
Other values (68)	68

Length

Max length	124
Median length	96
Mean length	81.36986301
Min length	59

Characters and Unicode

Total characters	5940
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2007756/stand-up-autsajd-1x11-pavel-dedisev-17-minut-serebra
2nd row	https://www.tvmaze.com/episodes/1987860/blic-krik-1x12-12-nurlan-saburov-t-fest-garik-oganisan-rustam-reptiloid-emir-kasokov
3rd row	https://www.tvmaze.com/episodes/2008031/lab-s-antonom-belaevym-2x10-therr-maitz
4th row	https://www.tvmaze.com/episodes/1964569/core-sense-1x13-episode-13
5th row	https://www.tvmaze.com/episodes/2052513/wu-shen-zhu-zai-1x88-episode-88

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2007756/stand-up-autsajd-1x11-pavel-dedisev-17-minut-serebra	1	1.4%
https://www.tvmaze.com/episodes/2176146/scishow-2020-12-29-the-fly-that-lays-eggs-in-toad-nostrils	1	1.4%
https://www.tvmaze.com/episodes/1993827/the-case-solver-1x21-episode-21	1	1.4%
https://www.tvmaze.com/episodes/1988303/nwa-shockwave-1x05-episode-5	1	1.4%
https://www.tvmaze.com/episodes/1988073/forever-love-1x22-episode-22	1	1.4%
https://www.tvmaze.com/episodes/1988072/forever-love-1x21-episode-21	1	1.4%
https://www.tvmaze.com/episodes/1985205/handmade-love-1x06-meet-me-in-your-past	1	1.4%
https://www.tvmaze.com/episodes/1984959/dream-detective-1x20-episode-20	1	1.4%
https://www.tvmaze.com/episodes/1984958/dream-detective-1x19-episode-19	1	1.4%
https://www.tvmaze.com/episodes/1976051/twisted-fate-of-love-1x40-episode-40	1	1.4%
Other values (63)	63	86.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2007756/stand-up-autsajd-1x11-pavel-dedisev-17-minut-serebra	1	1.4%
https://www.tvmaze.com/episodes/1987860/blic-krik-1x12-12-nurlan-saburov-t-fest-garik-oganisan-rustam-reptiloid-emir-kasokov	1	1.4%
https://www.tvmaze.com/episodes/2008031/lab-s-antonom-belaevym-2x10-therr-maitz	1	1.4%
https://www.tvmaze.com/episodes/1964569/core-sense-1x13-episode-13	1	1.4%
https://www.tvmaze.com/episodes/2052513/wu-shen-zhu-zai-1x88-episode-88	1	1.4%
https://www.tvmaze.com/episodes/1993658/7-days-of-romance-2x03-episode-3	1	1.4%
https://www.tvmaze.com/episodes/2096302/no-turning-back-romance-1x07-7	1	1.4%
https://www.tvmaze.com/episodes/2324423/unique-lady-2x11-episode-11	1	1.4%
https://www.tvmaze.com/episodes/2324424/unique-lady-2x12-episode-12	1	1.4%
https://www.tvmaze.com/episodes/2068352/doomsday-awakening-2x03-episode-3	1	1.4%
Other values (63)	63	86.3%

Most occurring characters

Value	Count	Frequency (%)
e	519	8.7%
-	464	7.8%
/	365	6.1%
t	362	6.1%
s	359	6.0%
o	296	5.0%
w	245	4.1%
i	239	4.0%
a	238	4.0%
p	218	3.7%
Other values (30)	2635	44.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4016	67.6%
Decimal Number	876	14.7%
Other Punctuation	584	9.8%
Dash Punctuation	464	7.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	519	12.9%
t	362	9.0%
s	359	8.9%
o	296	7.4%
w	245	6.1%
i	239	6.0%
a	238	5.9%
p	218	5.4%
m	195	4.9%
d	171	4.3%
Other values (16)	1174	29.2%

Decimal Number

Value	Count	Frequency (%)
1	180	20.5%
2	160	18.3%
0	129	14.7%
9	101	11.5%
7	60	6.8%
8	56	6.4%
3	52	5.9%
4	51	5.8%
6	46	5.3%
5	41	4.7%

Other Punctuation

Value	Count	Frequency (%)
/	365	62.5%
.	146	25.0%
:	73	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	464	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4016	67.6%
Common	1924	32.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	519	12.9%
t	362	9.0%
s	359	8.9%
o	296	7.4%
w	245	6.1%
i	239	6.0%
a	238	5.9%
p	218	5.4%
m	195	4.9%
d	171	4.3%
Other values (16)	1174	29.2%

Common

Value	Count	Frequency (%)
-	464	24.1%
/	365	19.0%
1	180	9.4%
2	160	8.3%
.	146	7.6%
0	129	6.7%
9	101	5.2%
:	73	3.8%
7	60	3.1%
8	56	2.9%
Other values (4)	190	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5940	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	519	8.7%
-	464	7.8%
/	365	6.1%
t	362	6.1%
s	359	6.0%
o	296	5.0%
w	245	4.1%
i	239	4.0%
a	238	4.0%
p	218	3.7%
Other values (30)	2635	44.4%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	60
Distinct (%)	82.2%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

Episode 3	6
Episode 12	3
Episode 2	2
Episode 11	2
Episode 5	2
Other values (55)	58

Length

Max length	75
Median length	41
Mean length	18.30136986
Min length	1

Characters and Unicode

Total characters	1336
Distinct characters	124
Distinct categories	9 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	71.2%

Sample

1st row	Павел Дедищев "17 минут серебра"
2nd row	#12: НУРЛАН САБУРОВ, T-Fest, ГАРИК ОГАНИСЯН, РУСТАМ РЕПТИЛОИД, ЭМИР КАШОКОВ
3rd row	Therr Maitz
4th row	Episode 13
5th row	Episode 88

Common Values

Value	Count	Frequency (%)
Episode 3	6	8.2%
Episode 12	3	4.1%
Episode 2	2	2.7%
Episode 11	2	2.7%
Episode 5	2	2.7%
Episode 21	2	2.7%
Episode 22	2	2.7%
Episode 10	2	2.7%
AEW Dark 67	1	1.4%
World Famous Voice Actor Clancy Brown	1	1.4%
Other values (50)	50	68.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	35	14.8%
the	8	3.4%
3	6	2.5%
12	4	1.7%
2	4	1.7%
2020	4	1.7%
in	3	1.3%
of	3	1.3%
odcinek	2	0.8%
er	2	0.8%
Other values (155)	166	70.0%

Most occurring characters

Value	Count	Frequency (%)
	164	12.3%
e	117	8.8%
o	78	5.8%
i	72	5.4%
s	63	4.7%
r	59	4.4%
d	57	4.3%
a	53	4.0%
p	42	3.1%
n	38	2.8%
Other values (114)	593	44.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	831	62.2%
Uppercase Letter	200	15.0%
Space Separator	164	12.3%
Decimal Number	93	7.0%
Other Punctuation	24	1.8%
Other Letter	16	1.2%
Dash Punctuation	4	0.3%
Close Punctuation	2	0.1%
Open Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	117	14.1%
o	78	9.4%
i	72	8.7%
s	63	7.6%
r	59	7.1%
d	57	6.9%
a	53	6.4%
p	42	5.1%
n	38	4.6%
t	37	4.5%
Other values (38)	215	25.9%

Uppercase Letter

Value	Count	Frequency (%)
E	37	18.5%
T	15	7.5%
P	9	4.5%
А	8	4.0%
O	7	3.5%
M	7	3.5%
H	6	3.0%
L	6	3.0%
Р	6	3.0%
И	5	2.5%
Other values (33)	94	47.0%

Other Letter

Value	Count	Frequency (%)
و	3	18.8%
ا	2	12.5%
第	1	6.2%
集	1	6.2%
ب	1	6.2%
ز	1	6.2%
م	1	6.2%
ی	1	6.2%
ل	1	6.2%
گ	1	6.2%
Other values (3)	3	18.8%

Decimal Number

Value	Count	Frequency (%)
2	28	30.1%
1	20	21.5%
0	12	12.9%
3	12	12.9%
9	5	5.4%
6	4	4.3%
5	4	4.3%
7	3	3.2%
4	3	3.2%
8	2	2.2%

Other Punctuation

Value	Count	Frequency (%)
:	9	37.5%
,	9	37.5%
"	2	8.3%
#	2	8.3%
!	1	4.2%
.	1	4.2%

Space Separator

Value	Count	Frequency (%)
	164	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	911	68.2%
Common	289	21.6%
Cyrillic	120	9.0%
Arabic	14	1.0%
Han	2	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	117	12.8%
o	78	8.6%
i	72	7.9%
s	63	6.9%
r	59	6.5%
d	57	6.3%
a	53	5.8%
p	42	4.6%
n	38	4.2%
E	37	4.1%
Other values (38)	295	32.4%

Cyrillic

Value	Count	Frequency (%)
е	9	7.5%
А	8	6.7%
а	6	5.0%
Р	6	5.0%
И	5	4.2%
и	5	4.2%
О	5	4.2%
р	5	4.2%
Н	4	3.3%
с	4	3.3%
Other values (33)	63	52.5%

Common

Value	Count	Frequency (%)
	164	56.7%
2	28	9.7%
1	20	6.9%
0	12	4.2%
3	12	4.2%
:	9	3.1%
,	9	3.1%
9	5	1.7%
-	4	1.4%
6	4	1.4%
Other values (10)	22	7.6%

Arabic

Value	Count	Frequency (%)
و	3	21.4%
ا	2	14.3%
ب	1	7.1%
ز	1	7.1%
م	1	7.1%
ی	1	7.1%
ل	1	7.1%
گ	1	7.1%
ر	1	7.1%
ه	1	7.1%

Han

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1198	89.7%
Cyrillic	120	9.0%
Arabic	14	1.0%
None	2	0.1%
CJK	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	164	13.7%
e	117	9.8%
o	78	6.5%
i	72	6.0%
s	63	5.3%
r	59	4.9%
d	57	4.8%
a	53	4.4%
p	42	3.5%
n	38	3.2%
Other values (57)	455	38.0%

Cyrillic

Value	Count	Frequency (%)
е	9	7.5%
А	8	6.7%
а	6	5.0%
Р	6	5.0%
И	5	4.2%
и	5	4.2%
О	5	4.2%
р	5	4.2%
Н	4	3.3%
с	4	3.3%
Other values (33)	63	52.5%

Arabic

Value	Count	Frequency (%)
و	3	21.4%
ا	2	14.3%
ب	1	7.1%
ز	1	7.1%
م	1	7.1%
ی	1	7.1%
ل	1	7.1%
گ	1	7.1%
ر	1	7.1%
ه	1	7.1%

None

Value	Count	Frequency (%)
å	2	100.0%

CJK

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	223.0958904

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	634.7682465
Coefficient of variation (CV)	2.845270907
Kurtosis	4.640533316
Mean	223.0958904
Median Absolute Deviation (MAD)	0
Skewness	2.552211381
Sum	16286
Variance	402930.7268
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	44	60.3%
2	14	19.2%
2020	8	11.0%
4	3	4.1%
3	2	2.7%
5	1	1.4%
31	1	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	44	60.3%
2	14	19.2%
3	2	2.7%
4	3	4.1%
5	1	1.4%
31	1	1.4%
2020	8	11.0%

Value	Count	Frequency (%)
2020	8	11.0%
31	1	1.4%
5	1	1.4%
4	3	4.1%
3	2	2.7%
2	14	19.2%
1	44	60.3%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	43.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.93150685

Minimum	1
Maximum	356
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	10
Q3	22
95-th percentile	110.4
Maximum	356
Range	355
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	67.1981582
Coefficient of variation (CV)	2.245064324
Kurtosis	15.80180599
Mean	29.93150685
Median Absolute Deviation (MAD)	7
Skewness	3.96694672
Sum	2185
Variance	4515.592466
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
3	9	12.3%
1	6	8.2%
2	6	8.2%
5	4	5.5%
12	4	5.5%
6	4	5.5%
4	4	5.5%
11	3	4.1%
10	3	4.1%
7	2	2.7%
Other values (22)	28	38.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	8.2%
2	6	8.2%
3	9	12.3%
4	4	5.5%
5	4	5.5%
6	4	5.5%
7	2	2.7%
10	3	4.1%
11	3	4.1%
12	4	5.5%

Value	Count	Frequency (%)
356	1	1.4%
320	1	1.4%
319	1	1.4%
144	1	1.4%
88	1	1.4%
70	1	1.4%
59	1	1.4%
53	2	2.7%
52	2	2.7%
40	1	1.4%

type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

regular	73

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	511
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	73	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	73	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	146	28.6%
e	73	14.3%
g	73	14.3%
u	73	14.3%
l	73	14.3%
a	73	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	511	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	146	28.6%
e	73	14.3%
g	73	14.3%
u	73	14.3%
l	73	14.3%
a	73	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	511	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	146	28.6%
e	73	14.3%
g	73	14.3%
u	73	14.3%
l	73	14.3%
a	73	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	511	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	146	28.6%
e	73	14.3%
g	73	14.3%
u	73	14.3%
l	73	14.3%
a	73	14.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

2020-12-29	73

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	730
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-29
2nd row	2020-12-29
3rd row	2020-12-29
4th row	2020-12-29
5th row	2020-12-29

Common Values

Value	Count	Frequency (%)
2020-12-29	73	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-29	73	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	292	40.0%
0	146	20.0%
-	146	20.0%
1	73	10.0%
9	73	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	584	80.0%
Dash Punctuation	146	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	292	50.0%
0	146	25.0%
1	73	12.5%
9	73	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	292	40.0%
0	146	20.0%
-	146	20.0%
1	73	10.0%
9	73	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	292	40.0%
0	146	20.0%
-	146	20.0%
1	73	10.0%
9	73	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

nan	51
20:00	7
12:00	4
21:00	4
10:00	2
Other values (5)	5

Length

Max length	5
Median length	3
Mean length	3.602739726
Min length	3

Characters and Unicode

Total characters	263
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	6.8%

Sample

1st row	12:00
2nd row	12:00
3rd row	nan
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
nan	51	69.9%
20:00	7	9.6%
12:00	4	5.5%
21:00	4	5.5%
10:00	2	2.7%
08:00	1	1.4%
17:00	1	1.4%
22:00	1	1.4%
19:00	1	1.4%
18:00	1	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	51	69.9%
20:00	7	9.6%
12:00	4	5.5%
21:00	4	5.5%
10:00	2	2.7%
08:00	1	1.4%
17:00	1	1.4%
22:00	1	1.4%
19:00	1	1.4%
18:00	1	1.4%

Most occurring characters

Value	Count	Frequency (%)
n	102	38.8%
0	54	20.5%
a	51	19.4%
:	22	8.4%
2	17	6.5%
1	13	4.9%
8	2	0.8%
7	1	0.4%
9	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	153	58.2%
Decimal Number	88	33.5%
Other Punctuation	22	8.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	54	61.4%
2	17	19.3%
1	13	14.8%
8	2	2.3%
7	1	1.1%
9	1	1.1%

Lowercase Letter

Value	Count	Frequency (%)
n	102	66.7%
a	51	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	153	58.2%
Common	110	41.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	54	49.1%
:	22	20.0%
2	17	15.5%
1	13	11.8%
8	2	1.8%
7	1	0.9%
9	1	0.9%

Latin

Value	Count	Frequency (%)
n	102	66.7%
a	51	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	102	38.8%
0	54	20.5%
a	51	19.4%
:	22	8.4%
2	17	6.5%
1	13	4.9%
8	2	0.8%
7	1	0.4%
9	1	0.4%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

2020-12-29T12:00:00+00:00	30
2020-12-29T11:00:00+00:00	10
2020-12-29T04:00:00+00:00	7
2020-12-29T06:30:00+00:00	7
2020-12-29T17:00:00+00:00	4
Other values (8)	15

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1825
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	5.5%

Sample

1st row	2020-12-29T00:00:00+00:00
2nd row	2020-12-29T00:00:00+00:00
3rd row	2020-12-29T00:00:00+00:00
4th row	2020-12-29T02:00:00+00:00
5th row	2020-12-29T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-29T12:00:00+00:00	30	41.1%
2020-12-29T11:00:00+00:00	10	13.7%
2020-12-29T04:00:00+00:00	7	9.6%
2020-12-29T06:30:00+00:00	7	9.6%
2020-12-29T17:00:00+00:00	4	5.5%
2020-12-29T21:00:00+00:00	4	5.5%
2020-12-29T00:00:00+00:00	3	4.1%
2020-12-29T02:00:00+00:00	2	2.7%
2020-12-29T03:00:00+00:00	2	2.7%
2020-12-29T04:30:00+00:00	1	1.4%
Other values (3)	3	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-29t12:00:00+00:00	30	41.1%
2020-12-29t11:00:00+00:00	10	13.7%
2020-12-29t04:00:00+00:00	7	9.6%
2020-12-29t06:30:00+00:00	7	9.6%
2020-12-29t17:00:00+00:00	4	5.5%
2020-12-29t21:00:00+00:00	4	5.5%
2020-12-29t00:00:00+00:00	3	4.1%
2020-12-29t02:00:00+00:00	2	2.7%
2020-12-29t03:00:00+00:00	2	2.7%
2020-12-29t04:30:00+00:00	1	1.4%
Other values (3)	3	4.1%

Most occurring characters

Value	Count	Frequency (%)
0	748	41.0%
2	328	18.0%
:	219	12.0%
-	146	8.0%
1	133	7.3%
9	74	4.1%
T	73	4.0%
+	73	4.0%
3	10	0.5%
4	8	0.4%
Other values (4)	13	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1314	72.0%
Other Punctuation	219	12.0%
Dash Punctuation	146	8.0%
Uppercase Letter	73	4.0%
Math Symbol	73	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	748	56.9%
2	328	25.0%
1	133	10.1%
9	74	5.6%
3	10	0.8%
4	8	0.6%
6	7	0.5%
7	4	0.3%
8	1	0.1%
5	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	219	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	146	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	73	100.0%

Math Symbol

Value	Count	Frequency (%)
+	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1752	96.0%
Latin	73	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	748	42.7%
2	328	18.7%
:	219	12.5%
-	146	8.3%
1	133	7.6%
9	74	4.2%
+	73	4.2%
3	10	0.6%
4	8	0.5%
6	7	0.4%
Other values (3)	6	0.3%

Latin

Value	Count	Frequency (%)
T	73	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	748	41.0%
2	328	18.0%
:	219	12.0%
-	146	8.0%
1	133	7.3%
9	74	4.1%
T	73	4.0%
+	73	4.0%
3	10	0.5%
4	8	0.4%
Other values (4)	13	0.7%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	39.4%
Missing	2
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	38.53521127

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	4
5-th percentile	9
Q1	21.5
median	30
Q3	45
95-th percentile	90
Maximum	120
Range	116
Interquartile range (IQR)	23.5

Descriptive statistics

Standard deviation	26.02132696
Coefficient of variation (CV)	0.6752610432
Kurtosis	2.655974373
Mean	38.53521127
Median Absolute Deviation (MAD)	15
Skewness	1.567486729
Sum	2736
Variance	677.1094567
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
45	13	17.8%
30	10	13.7%
60	5	6.8%
90	4	5.5%
27	4	5.5%
120	3	4.1%
19	3	4.1%
18	3	4.1%
12	3	4.1%
25	2	2.7%
Other values (18)	21	28.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	1.4%
5	2	2.7%
8	1	1.4%
10	1	1.4%
12	3	4.1%
15	2	2.7%
16	1	1.4%
18	3	4.1%
19	3	4.1%
20	1	1.4%

Value	Count	Frequency (%)
120	3	4.1%
90	4	5.5%
60	5	6.8%
48	1	1.4%
45	13	17.8%
43	1	1.4%
41	1	1.4%
40	2	2.7%
38	1	1.4%
37	1	1.4%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	12
Distinct (%)	100.0%
Missing	61
Missing (%)	83.6%
Memory size	712.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737210.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737210.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/728291.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/728291.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/733849.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/733849.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729339.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729339.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/730358.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/730358.jpg'}	1
Other values (7)	7

Length

Max length	176
Median length	176
Mean length	176
Min length	176

Characters and Unicode

Total characters	2112
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737210.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737210.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/728291.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/728291.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/733849.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/733849.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729339.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729339.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/730358.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/730358.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737210.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737210.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/728291.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/728291.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/293/733849.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/293/733849.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729339.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729339.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/730358.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/730358.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/728205.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/728205.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724614.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724614.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727577.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727577.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727732.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727732.jpg'}	1	1.4%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727731.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727731.jpg'}	1	1.4%
Other values (2)	2	2.7%
(Missing)	61	83.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	12	25.0%
original	12	25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/289/724614.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727727.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727729.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727729.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727731.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727731.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727732.jpg	1	2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727732.jpg	1	2.1%
Other values (16)	16	33.3%

Most occurring characters

Value	Count	Frequency (%)
/	168	8.0%
a	144	6.8%
t	132	6.2%
m	120	5.7%
i	120	5.7%
s	108	5.1%
e	96	4.5%
'	96	4.5%
o	84	4.0%
p	84	4.0%
Other values (28)	960	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1416	67.0%
Other Punctuation	396	18.8%
Decimal Number	216	10.2%
Space Separator	36	1.7%
Connector Punctuation	24	1.1%
Close Punctuation	12	0.6%
Open Punctuation	12	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	144	10.2%
t	132	9.3%
m	120	8.5%
i	120	8.5%
s	108	7.6%
e	96	6.8%
o	84	5.9%
p	84	5.9%
g	72	5.1%
c	72	5.1%
Other values (9)	384	27.1%

Decimal Number

Value	Count	Frequency (%)
2	56	25.9%
7	50	23.1%
9	34	15.7%
1	24	11.1%
3	20	9.3%
8	10	4.6%
4	8	3.7%
0	6	2.8%
5	6	2.8%
6	2	0.9%

Other Punctuation

Value	Count	Frequency (%)
/	168	42.4%
'	96	24.2%
.	72	18.2%
:	48	12.1%
,	12	3.0%

Space Separator

Value	Count	Frequency (%)
	36	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	24	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	12	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1416	67.0%
Common	696	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	168	24.1%
'	96	13.8%
.	72	10.3%
2	56	8.0%
7	50	7.2%
:	48	6.9%
	36	5.2%
9	34	4.9%
1	24	3.4%
_	24	3.4%
Other values (9)	88	12.6%

Latin

Value	Count	Frequency (%)
a	144	10.2%
t	132	9.3%
m	120	8.5%
i	120	8.5%
s	108	7.6%
e	96	6.8%
o	84	5.9%
p	84	5.9%
g	72	5.1%
c	72	5.1%
Other values (9)	384	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	168	8.0%
a	144	6.8%
t	132	6.2%
m	120	5.7%
i	120	5.7%
s	108	5.1%
e	96	4.5%
'	96	4.5%
o	84	4.0%
p	84	4.0%
Other values (28)	960	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

nan	64
<p>Mike and the @Returning the Favor crew surprise Shelina Moreda, a motorcycle racing/model/dairy farmer's daughter who is saving animals from the wildfires and other situations in Northern California.</p>	1
<p>Clancy Brown (Shawshank, SpongeBob) joins me this week to share his personal experience with impostor syndrome throughout his career from its inception to highlights like The Shawshank Redemption. </p><p>Clancy talks about how the industry had changed over the decades and how he feels blessed to have found voice acting for the presence it allows him to keep. </p><p>We also get into some good ole Lex talk, how fame can drastically change a set, and even his personal experience working with the late great Sean Connery.</p>	1
<p>James comes out to his mother about his relationship with Sky. The two spend quality time together at the night market and around the city. </p>	1
<p>Observed at a psychiatric hospital and composed in court, the accused remains a locked box and offers few clues. Now the therapist revisits his case.</p>	1
Other values (5)	5

Length

Max length	529
Median length	3
Mean length	29.69863014
Min length	3

Characters and Unicode

Total characters	2168
Distinct characters	52
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	12.3%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	64	87.7%
<p>Mike and the @Returning the Favor crew surprise Shelina Moreda, a motorcycle racing/model/dairy farmer's daughter who is saving animals from the wildfires and other situations in Northern California.</p>	1	1.4%
<p>Clancy Brown (Shawshank, SpongeBob) joins me this week to share his personal experience with impostor syndrome throughout his career from its inception to highlights like The Shawshank Redemption. </p><p>Clancy talks about how the industry had changed over the decades and how he feels blessed to have found voice acting for the presence it allows him to keep. </p><p>We also get into some good ole Lex talk, how fame can drastically change a set, and even his personal experience working with the late great Sean Connery.</p>	1	1.4%
<p>James comes out to his mother about his relationship with Sky. The two spend quality time together at the night market and around the city. </p>	1	1.4%
<p>Observed at a psychiatric hospital and composed in court, the accused remains a locked box and offers few clues. Now the therapist revisits his case.</p>	1	1.4%
<p>Claire and Eric have seemingly moved on with their lives, but a chance encounter brings new truths to light.<br /> </p>	1	1.4%
<p>The first episode examines how the Beckhams changed the model of the celebrity power couple, while the rise of reality TV led to a gigantic influx of people gaining overnight fame, fed by a press that saw an easy source of material. The programme also examines how leaked sex tapes changed the nature of celebrity scandal.</p>	1	1.4%
<p>Charting the story of celebrity in the late noughties, this film looks at how different groups cashed in on the public's insatiable appetite for access to the famous.</p>	1	1.4%
<p>This film tells the story of how celebrities capitalised on a digital revolution in order to sidestep the traditional routes to fame.</p>	1	1.4%
<p>Charting the last five tumultuous years, this final episode takes us to the end of 2020 and interrogates the methods used by celebrities to get everything they want.</p>	1	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	64	16.7%
the	28	7.3%
to	12	3.1%
and	9	2.3%
a	8	2.1%
of	8	2.1%
how	7	1.8%
his	6	1.6%
in	5	1.3%
with	4	1.0%
Other values (203)	232	60.6%

Most occurring characters

Value	Count	Frequency (%)
	307	14.2%
n	217	10.0%
e	200	9.2%
a	183	8.4%
t	140	6.5%
i	117	5.4%
o	113	5.2%
s	103	4.8%
h	96	4.4%
r	89	4.1%
Other values (42)	603	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1728	79.7%
Space Separator	312	14.4%
Math Symbol	46	2.1%
Other Punctuation	41	1.9%
Uppercase Letter	35	1.6%
Decimal Number	4	0.2%
Close Punctuation	1	< 0.1%
Open Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	217	12.6%
e	200	11.6%
a	183	10.6%
t	140	8.1%
i	117	6.8%
o	113	6.5%
s	103	6.0%
h	96	5.6%
r	89	5.2%
l	63	3.6%
Other values (15)	407	23.6%

Uppercase Letter

Value	Count	Frequency (%)
C	7	20.0%
T	6	17.1%
S	6	17.1%
B	3	8.6%
R	2	5.7%
N	2	5.7%
M	2	5.7%
F	1	2.9%
W	1	2.9%
L	1	2.9%
Other values (4)	4	11.4%

Other Punctuation

Value	Count	Frequency (%)
/	14	34.1%
.	14	34.1%
,	10	24.4%
'	2	4.9%
@	1	2.4%

Space Separator

Value	Count	Frequency (%)
	307	98.4%
	5	1.6%

Math Symbol

Value	Count	Frequency (%)
>	23	50.0%
<	23	50.0%

Decimal Number

Value	Count	Frequency (%)
2	2	50.0%
0	2	50.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1763	81.3%
Common	405	18.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	217	12.3%
e	200	11.3%
a	183	10.4%
t	140	7.9%
i	117	6.6%
o	113	6.4%
s	103	5.8%
h	96	5.4%
r	89	5.0%
l	63	3.6%
Other values (29)	442	25.1%

Common

Value	Count	Frequency (%)
	307	75.8%
>	23	5.7%
<	23	5.7%
/	14	3.5%
.	14	3.5%
,	10	2.5%
	5	1.2%
2	2	0.5%
'	2	0.5%
0	2	0.5%
Other values (3)	3	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2163	99.8%
None	5	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	307	14.2%
n	217	10.0%
e	200	9.2%
a	183	8.5%
t	140	6.5%
i	117	5.4%
o	113	5.2%
s	103	4.8%
h	96	4.4%
r	89	4.1%
Other values (41)	598	27.6%

None

Value	Count	Frequency (%)
	5	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	48
Distinct (%)	65.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48168.53425

Minimum	2504
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	2504
5-th percentile	15250
Q1	49400
median	52655
Q3	52933
95-th percentile	56288
Maximum	61755
Range	59251
Interquartile range (IQR)	3533

Descriptive statistics

Standard deviation	11813.28077
Coefficient of variation (CV)	0.2452489153
Kurtosis	5.205040019
Mean	48168.53425
Median Absolute Deviation (MAD)	1378
Skewness	-2.412166791
Sum	3516303
Variance	139553602.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
52736	7	9.6%
54955	6	8.2%
52655	4	5.5%
52661	4	5.5%
41490	2	2.7%
52104	2	2.7%
52784	2	2.7%
52400	2	2.7%
15250	2	2.7%
52524	2	2.7%
Other values (38)	40	54.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2504	1	1.4%
13381	1	1.4%
13392	1	1.4%
15250	2	2.7%
17633	1	1.4%
30606	1	1.4%
32980	1	1.4%
38339	1	1.4%
41490	2	2.7%
42121	1	1.4%

Value	Count	Frequency (%)
61755	1	1.4%
58645	1	1.4%
57339	1	1.4%
56288	2	2.7%
55016	1	1.4%
55002	1	1.4%
54955	6	8.2%
54033	1	1.4%
53669	1	1.4%
53467	1	1.4%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	65.8%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

https://www.tvmaze.com/shows/52736/paurashpur	7
https://www.tvmaze.com/shows/54955/tillykke-i-skal-have-trillinger	6
https://www.tvmaze.com/shows/52655/the-case-solver	4
https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	4
https://www.tvmaze.com/shows/41490/unique-lady	2
Other values (43)	50

Length

Max length	71
Median length	59
Mean length	51.78082192
Min length	39

Characters and Unicode

Total characters	3780
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	49.3%

Sample

1st row	https://www.tvmaze.com/shows/51065/stand-up-autsajd
2nd row	https://www.tvmaze.com/shows/52044/blic-krik
3rd row	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
4th row	https://www.tvmaze.com/shows/51336/core-sense
5th row	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52736/paurashpur	7	9.6%
https://www.tvmaze.com/shows/54955/tillykke-i-skal-have-trillinger	6	8.2%
https://www.tvmaze.com/shows/52655/the-case-solver	4	5.5%
https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	4	5.5%
https://www.tvmaze.com/shows/41490/unique-lady	2	2.7%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.7%
https://www.tvmaze.com/shows/52784/unique-lady-2	2	2.7%
https://www.tvmaze.com/shows/52400/dream-detective	2	2.7%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.7%
https://www.tvmaze.com/shows/52524/forever-love	2	2.7%
Other values (38)	40	54.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52736/paurashpur	7	9.6%
https://www.tvmaze.com/shows/54955/tillykke-i-skal-have-trillinger	6	8.2%
https://www.tvmaze.com/shows/52655/the-case-solver	4	5.5%
https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	4	5.5%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.7%
https://www.tvmaze.com/shows/56288/nieobecni	2	2.7%
https://www.tvmaze.com/shows/52936/my-best-friends-story	2	2.7%
https://www.tvmaze.com/shows/52524/forever-love	2	2.7%
https://www.tvmaze.com/shows/52400/dream-detective	2	2.7%
https://www.tvmaze.com/shows/52784/unique-lady-2	2	2.7%
Other values (38)	40	54.8%

Most occurring characters

Value	Count	Frequency (%)
/	365	9.7%
t	306	8.1%
w	302	8.0%
s	280	7.4%
e	207	5.5%
o	203	5.4%
h	182	4.8%
m	166	4.4%
a	161	4.3%
.	146	3.9%
Other values (30)	1462	38.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2683	71.0%
Other Punctuation	584	15.4%
Decimal Number	375	9.9%
Dash Punctuation	138	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	306	11.4%
w	302	11.3%
s	280	10.4%
e	207	7.7%
o	203	7.6%
h	182	6.8%
m	166	6.2%
a	161	6.0%
c	102	3.8%
v	98	3.7%
Other values (16)	676	25.2%

Decimal Number

Value	Count	Frequency (%)
5	87	23.2%
2	55	14.7%
4	43	11.5%
6	38	10.1%
3	37	9.9%
1	28	7.5%
0	26	6.9%
9	23	6.1%
7	21	5.6%
8	17	4.5%

Other Punctuation

Value	Count	Frequency (%)
/	365	62.5%
.	146	25.0%
:	73	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	138	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2683	71.0%
Common	1097	29.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	306	11.4%
w	302	11.3%
s	280	10.4%
e	207	7.7%
o	203	7.6%
h	182	6.8%
m	166	6.2%
a	161	6.0%
c	102	3.8%
v	98	3.7%
Other values (16)	676	25.2%

Common

Value	Count	Frequency (%)
/	365	33.3%
.	146	13.3%
-	138	12.6%
5	87	7.9%
:	73	6.7%
2	55	5.0%
4	43	3.9%
6	38	3.5%
3	37	3.4%
1	28	2.6%
Other values (4)	87	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3780	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	365	9.7%
t	306	8.1%
w	302	8.0%
s	280	7.4%
e	207	5.5%
o	203	5.4%
h	182	4.8%
m	166	4.4%
a	161	4.3%
.	146	3.9%
Other values (30)	1462	38.7%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	65.8%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

Paurashpur	7
Tillykke, I skal have trillinger!	6
The Case Solver	4
Celebrity: A 21st-Century Story	4
Unique Lady	2
Other values (43)	50

Length

Max length	36
Median length	25
Mean length	17.10958904
Min length	6

Characters and Unicode

Total characters	1249
Distinct characters	80
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	49.3%

Sample

1st row	Stand Up Аутсайд
2nd row	Блиц-крик
3rd row	LAB с Антоном Беляевым
4th row	Core Sense
5th row	Wu Shen Zhu Zai

Common Values

Value	Count	Frequency (%)
Paurashpur	7	9.6%
Tillykke, I skal have trillinger!	6	8.2%
The Case Solver	4	5.5%
Celebrity: A 21st-Century Story	4	5.5%
Unique Lady	2	2.7%
Twisted Fate of Love	2	2.7%
Unique Lady 2	2	2.7%
Dream Detective	2	2.7%
The Young Turks	2	2.7%
Forever Love	2	2.7%
Other values (38)	40	54.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	10	4.9%
paurashpur	7	3.4%
story	6	2.9%
i	6	2.9%
skal	6	2.9%
have	6	2.9%
trillinger	6	2.9%
tillykke	6	2.9%
of	6	2.9%
love	5	2.4%
Other values (101)	142	68.9%

Most occurring characters

Value	Count	Frequency (%)
	133	10.6%
e	129	10.3%
r	74	5.9%
a	69	5.5%
i	68	5.4%
t	58	4.6%
l	54	4.3%
n	53	4.2%
o	53	4.2%
s	42	3.4%
Other values (70)	516	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	901	72.1%
Uppercase Letter	176	14.1%
Space Separator	133	10.6%
Other Punctuation	23	1.8%
Decimal Number	11	0.9%
Dash Punctuation	5	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	129	14.3%
r	74	8.2%
a	69	7.7%
i	68	7.5%
t	58	6.4%
l	54	6.0%
n	53	5.9%
o	53	5.9%
s	42	4.7%
u	41	4.6%
Other values (36)	260	28.9%

Uppercase Letter

Value	Count	Frequency (%)
T	25	14.2%
S	17	9.7%
C	15	8.5%
L	15	8.5%
A	15	8.5%
F	8	4.5%
N	8	4.5%
P	8	4.5%
B	7	4.0%
I	7	4.0%
Other values (15)	51	29.0%

Other Punctuation

Value	Count	Frequency (%)
,	7	30.4%
!	6	26.1%
'	5	21.7%
:	5	21.7%

Decimal Number

Value	Count	Frequency (%)
2	6	54.5%
1	4	36.4%
7	1	9.1%

Space Separator

Value	Count	Frequency (%)
	133	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1032	82.6%
Common	172	13.8%
Cyrillic	45	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	129	12.5%
r	74	7.2%
a	69	6.7%
i	68	6.6%
t	58	5.6%
l	54	5.2%
n	53	5.1%
o	53	5.1%
s	42	4.1%
u	41	4.0%
Other values (37)	391	37.9%

Cyrillic

Value	Count	Frequency (%)
т	4	8.9%
и	4	8.9%
о	4	8.9%
р	3	6.7%
к	3	6.7%
л	2	4.4%
е	2	4.4%
Б	2	4.4%
м	2	4.4%
н	2	4.4%
Other values (14)	17	37.8%

Common

Value	Count	Frequency (%)
	133	77.3%
,	7	4.1%
2	6	3.5%
!	6	3.5%
'	5	2.9%
:	5	2.9%
-	5	2.9%
1	4	2.3%
7	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1204	96.4%
Cyrillic	45	3.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	133	11.0%
e	129	10.7%
r	74	6.1%
a	69	5.7%
i	68	5.6%
t	58	4.8%
l	54	4.5%
n	53	4.4%
o	53	4.4%
s	42	3.5%
Other values (46)	471	39.1%

Cyrillic

Value	Count	Frequency (%)
т	4	8.9%
и	4	8.9%
о	4	8.9%
р	3	6.7%
к	3	6.7%
л	2	4.4%
е	2	4.4%
Б	2	4.4%
м	2	4.4%
н	2	4.4%
Other values (14)	17	37.8%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

Scripted	39
Documentary	14
Animation	4
Reality	4
Variety	3
Other values (4)	9

Length

Max length	11
Median length	8
Mean length	8.328767123
Min length	4

Characters and Unicode

Total characters	608
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.4%

Sample

1st row	Variety
2nd row	Variety
3rd row	Documentary
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	39	53.4%
Documentary	14	19.2%
Animation	4	5.5%
Reality	4	5.5%
Variety	3	4.1%
News	3	4.1%
Sports	3	4.1%
Talk Show	2	2.7%
Game Show	1	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	39	51.3%
documentary	14	18.4%
animation	4	5.3%
reality	4	5.3%
variety	3	3.9%
news	3	3.9%
sports	3	3.9%
show	3	3.9%
talk	2	2.6%
game	1	1.3%

Most occurring characters

Value	Count	Frequency (%)
t	67	11.0%
e	64	10.5%
r	59	9.7%
i	54	8.9%
c	53	8.7%
S	45	7.4%
p	42	6.9%
d	39	6.4%
a	28	4.6%
o	24	3.9%
Other values (17)	133	21.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	529	87.0%
Uppercase Letter	76	12.5%
Space Separator	3	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	67	12.7%
e	64	12.1%
r	59	11.2%
i	54	10.2%
c	53	10.0%
p	42	7.9%
d	39	7.4%
a	28	5.3%
o	24	4.5%
n	22	4.2%
Other values (8)	77	14.6%

Uppercase Letter

Value	Count	Frequency (%)
S	45	59.2%
D	14	18.4%
A	4	5.3%
R	4	5.3%
V	3	3.9%
N	3	3.9%
T	2	2.6%
G	1	1.3%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	605	99.5%
Common	3	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	67	11.1%
e	64	10.6%
r	59	9.8%
i	54	8.9%
c	53	8.8%
S	45	7.4%
p	42	6.9%
d	39	6.4%
a	28	4.6%
o	24	4.0%
Other values (16)	130	21.5%

Common

Value	Count	Frequency (%)
	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	608	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	67	11.0%
e	64	10.5%
r	59	9.7%
i	54	8.9%
c	53	8.7%
S	45	7.4%
p	42	6.9%
d	39	6.4%
a	28	4.6%
o	24	3.9%
Other values (17)	133	21.9%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

Chinese	21
English	17
Hindi	7
Danish	6
Korean	4
Other values (10)	18

Length

Max length	10
Median length	7
Mean length	6.671232877
Min length	4

Characters and Unicode

Total characters	487
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	6.8%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	21	28.8%
English	17	23.3%
Hindi	7	9.6%
Danish	6	8.2%
Korean	4	5.5%
Norwegian	4	5.5%
Russian	3	4.1%
Polish	2	2.7%
Thai	2	2.7%
Arabic	2	2.7%
Other values (5)	5	6.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	21	28.8%
english	17	23.3%
hindi	7	9.6%
danish	6	8.2%
korean	4	5.5%
norwegian	4	5.5%
russian	3	4.1%
polish	2	2.7%
thai	2	2.7%
arabic	2	2.7%
Other values (5)	5	6.8%

Most occurring characters

Value	Count	Frequency (%)
i	75	15.4%
n	66	13.6%
e	56	11.5%
s	54	11.1%
h	49	10.1%
a	25	5.1%
C	21	4.3%
g	21	4.3%
l	19	3.9%
E	17	3.5%
Other values (20)	84	17.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	414	85.0%
Uppercase Letter	73	15.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	75	18.1%
n	66	15.9%
e	56	13.5%
s	54	13.0%
h	49	11.8%
a	25	6.0%
g	21	5.1%
l	19	4.6%
r	13	3.1%
o	10	2.4%
Other values (8)	26	6.3%

Uppercase Letter

Value	Count	Frequency (%)
C	21	28.8%
E	17	23.3%
H	8	11.0%
D	7	9.6%
K	4	5.5%
N	4	5.5%
P	3	4.1%
R	3	4.1%
A	2	2.7%
T	2	2.7%
Other values (2)	2	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	487	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	75	15.4%
n	66	13.6%
e	56	11.5%
s	54	11.1%
h	49	10.1%
a	25	5.1%
C	21	4.3%
g	21	4.3%
l	19	3.9%
E	17	3.5%
Other values (20)	84	17.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	487	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	75	15.4%
n	66	13.6%
e	56	11.5%
s	54	11.1%
h	49	10.1%
a	25	5.1%
C	21	4.3%
g	21	4.3%
l	19	3.9%
E	17	3.5%
Other values (20)	84	17.2%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	32.9%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

[]	15
['Drama']	9
['Drama', 'Romance']	9
['Children', 'Family']	6
['Crime']	4
Other values (19)	30

Length

Max length	45
Median length	38
Mean length	15.45205479
Min length	2

Characters and Unicode

Total characters	1128
Distinct characters	31
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	17.8%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Music']
4th row	['Action', 'Anime', 'Science-Fiction']
5th row	['Action', 'Adventure', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
[]	15	20.5%
['Drama']	9	12.3%
['Drama', 'Romance']	9	12.3%
['Children', 'Family']	6	8.2%
['Crime']	4	5.5%
['Comedy']	4	5.5%
['History']	4	5.5%
['Drama', 'Romance', 'History']	3	4.1%
['Drama', 'Fantasy', 'Mystery']	2	2.7%
['Drama', 'Comedy', 'Romance']	2	2.7%
Other values (14)	15	20.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	27	22.1%
romance	18	14.8%
	15	12.3%
comedy	11	9.0%
history	7	5.7%
children	7	5.7%
family	7	5.7%
fantasy	6	4.9%
crime	5	4.1%
action	4	3.3%
Other values (7)	15	12.3%

Most occurring characters

Value	Count	Frequency (%)
'	214	19.0%
a	92	8.2%
[	73	6.5%
]	73	6.5%
m	72	6.4%
e	56	5.0%
r	52	4.6%
,	49	4.3%
	49	4.3%
o	46	4.1%
Other values (21)	352	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	559	49.6%
Other Punctuation	263	23.3%
Uppercase Letter	109	9.7%
Open Punctuation	73	6.5%
Close Punctuation	73	6.5%
Space Separator	49	4.3%
Dash Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	92	16.5%
m	72	12.9%
e	56	10.0%
r	52	9.3%
o	46	8.2%
n	45	8.1%
i	41	7.3%
y	37	6.6%
c	29	5.2%
t	24	4.3%
Other values (6)	65	11.6%

Uppercase Letter

Value	Count	Frequency (%)
D	27	24.8%
C	23	21.1%
R	18	16.5%
F	17	15.6%
A	10	9.2%
H	7	6.4%
M	4	3.7%
S	2	1.8%
W	1	0.9%

Other Punctuation

Value	Count	Frequency (%)
'	214	81.4%
,	49	18.6%

Open Punctuation

Value	Count	Frequency (%)
[	73	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	73	100.0%

Space Separator

Value	Count	Frequency (%)
	49	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	668	59.2%
Common	460	40.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	92	13.8%
m	72	10.8%
e	56	8.4%
r	52	7.8%
o	46	6.9%
n	45	6.7%
i	41	6.1%
y	37	5.5%
c	29	4.3%
D	27	4.0%
Other values (15)	171	25.6%

Common

Value	Count	Frequency (%)
'	214	46.5%
[	73	15.9%
]	73	15.9%
,	49	10.7%
	49	10.7%
-	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1128	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	214	19.0%
a	92	8.2%
[	73	6.5%
]	73	6.5%
m	72	6.4%
e	56	5.0%
r	52	4.6%
,	49	4.3%
	49	4.3%
o	46	4.1%
Other values (21)	352	31.2%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

Running	35
Ended	26
To Be Determined	12

Length

Max length	16
Median length	7
Mean length	7.767123288
Min length	5

Characters and Unicode

Total characters	567
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Running
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	35	47.9%
Ended	26	35.6%
To Be Determined	12	16.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	35	36.1%
ended	26	26.8%
to	12	12.4%
be	12	12.4%
determined	12	12.4%

Most occurring characters

Value	Count	Frequency (%)
n	143	25.2%
e	74	13.1%
d	64	11.3%
i	47	8.3%
R	35	6.2%
u	35	6.2%
g	35	6.2%
E	26	4.6%
	24	4.2%
T	12	2.1%
Other values (6)	72	12.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	446	78.7%
Uppercase Letter	97	17.1%
Space Separator	24	4.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	143	32.1%
e	74	16.6%
d	64	14.3%
i	47	10.5%
u	35	7.8%
g	35	7.8%
o	12	2.7%
t	12	2.7%
r	12	2.7%
m	12	2.7%

Uppercase Letter

Value	Count	Frequency (%)
R	35	36.1%
E	26	26.8%
T	12	12.4%
B	12	12.4%
D	12	12.4%

Space Separator

Value	Count	Frequency (%)
	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	543	95.8%
Common	24	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	143	26.3%
e	74	13.6%
d	64	11.8%
i	47	8.7%
R	35	6.4%
u	35	6.4%
g	35	6.4%
E	26	4.8%
T	12	2.2%
o	12	2.2%
Other values (5)	60	11.0%

Common

Value	Count	Frequency (%)
	24	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	567	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	143	25.2%
e	74	13.1%
d	64	11.3%
i	47	8.3%
R	35	6.2%
u	35	6.2%
g	35	6.2%
E	26	4.6%
	24	4.2%
T	12	2.1%
Other values (6)	72	12.7%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	34.0%
Missing	20
Missing (%)	27.4%
Infinite	0
Infinite (%)	0.0%
Mean	42.28301887

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	4
5-th percentile	9.2
Q1	27
median	38
Q3	45
95-th percentile	102
Maximum	120
Range	116
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	27.0337235
Coefficient of variation (CV)	0.6393517828
Kurtosis	2.270625718
Mean	42.28301887
Median Absolute Deviation (MAD)	11
Skewness	1.46967552
Sum	2241
Variance	730.8222061
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
45	13	17.8%
30	9	12.3%
60	5	6.8%
27	4	5.5%
120	3	4.1%
90	3	4.1%
40	2	2.7%
38	2	2.7%
15	2	2.7%
25	2	2.7%
Other values (8)	8	11.0%
(Missing)	20	27.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	1.4%
5	1	1.4%
8	1	1.4%
10	1	1.4%
12	1	1.4%
15	2	2.7%
23	1	1.4%
24	1	1.4%
25	2	2.7%
26	1	1.4%

Value	Count	Frequency (%)
120	3	4.1%
90	3	4.1%
60	5	6.8%
45	13	17.8%
40	2	2.7%
38	2	2.7%
30	9	12.3%
27	4	5.5%
26	1	1.4%
25	2	2.7%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	36.6%
Missing	2
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	37.69014085

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	4
5-th percentile	8.5
Q1	20
median	30
Q3	45
95-th percentile	90
Maximum	120
Range	116
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	26.13240547
Coefficient of variation (CV)	0.6933485756
Kurtosis	2.735552589
Mean	37.69014085
Median Absolute Deviation (MAD)	13
Skewness	1.613647131
Sum	2676
Variance	682.9026157
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
45	12	16.4%
30	8	11.0%
20	7	9.6%
27	5	6.8%
60	5	6.8%
42	4	5.5%
120	3	4.1%
90	3	4.1%
25	3	4.1%
12	3	4.1%
Other values (16)	18	24.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	1.4%
5	1	1.4%
6	1	1.4%
8	1	1.4%
9	1	1.4%
10	1	1.4%
12	3	4.1%
15	2	2.7%
17	1	1.4%
20	7	9.6%

Value	Count	Frequency (%)
120	3	4.1%
90	3	4.1%
87	1	1.4%
60	5	6.8%
45	12	16.4%
42	4	5.5%
40	1	1.4%
36	1	1.4%
32	1	1.4%
30	8	11.0%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	39
Distinct (%)	53.4%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

2020-12-29	14
2019-08-22	6
2020-12-21	5
2020-12-08	3
2020-10-13	2
Other values (34)	43

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	730
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25 ?
Unique (%)	34.2%

Sample

1st row	2020-10-13
2nd row	2019-08-20
3rd row	2019-12-17
4th row	2020-10-13
5th row	2020-03-08

Common Values

Value	Count	Frequency (%)
2020-12-29	14	19.2%
2019-08-22	6	8.2%
2020-12-21	5	6.8%
2020-12-08	3	4.1%
2020-10-13	2	2.7%
2020-12-27	2	2.7%
2020-12-28	2	2.7%
2020-12-14	2	2.7%
2020-11-23	2	2.7%
2020-12-22	2	2.7%
Other values (29)	33	45.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-29	14	19.2%
2019-08-22	6	8.2%
2020-12-21	5	6.8%
2020-12-08	3	4.1%
2020-12-22	2	2.7%
2019-10-08	2	2.7%
2020-12-24	2	2.7%
2013-12-24	2	2.7%
2019-01-17	2	2.7%
2020-11-23	2	2.7%
Other values (29)	33	45.2%

Most occurring characters

Value	Count	Frequency (%)
2	214	29.3%
0	162	22.2%
-	146	20.0%
1	112	15.3%
9	38	5.2%
8	22	3.0%
3	12	1.6%
7	10	1.4%
4	8	1.1%
5	6	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	584	80.0%
Dash Punctuation	146	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	214	36.6%
0	162	27.7%
1	112	19.2%
9	38	6.5%
8	22	3.8%
3	12	2.1%
7	10	1.7%
4	8	1.4%
5	6	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	214	29.3%
0	162	22.2%
-	146	20.0%
1	112	15.3%
9	38	5.2%
8	22	3.0%
3	12	1.6%
7	10	1.4%
4	8	1.1%
5	6	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	214	29.3%
0	162	22.2%
-	146	20.0%
1	112	15.3%
9	38	5.2%
8	22	3.0%
3	12	1.6%
7	10	1.4%
4	8	1.1%
5	6	0.8%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	15.1%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

nan	47
2020-12-29	9
2021-01-05	5
2020-12-30	3
2020-12-31	2
Other values (6)	7

Length

Max length	10
Median length	3
Mean length	5.493150685
Min length	3

Characters and Unicode

Total characters	401
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	6.8%

Sample

1st row	2020-12-31
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	47	64.4%
2020-12-29	9	12.3%
2021-01-05	5	6.8%
2020-12-30	3	4.1%
2020-12-31	2	2.7%
2021-01-07	2	2.7%
2021-01-20	1	1.4%
2021-01-06	1	1.4%
2021-02-16	1	1.4%
2021-02-19	1	1.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	47	64.4%
2020-12-29	9	12.3%
2021-01-05	5	6.8%
2020-12-30	3	4.1%
2020-12-31	2	2.7%
2021-01-07	2	2.7%
2021-01-20	1	1.4%
2021-01-06	1	1.4%
2021-02-16	1	1.4%
2021-02-19	1	1.4%

Most occurring characters

Value	Count	Frequency (%)
n	94	23.4%
2	78	19.5%
0	65	16.2%
-	52	13.0%
a	47	11.7%
1	39	9.7%
9	11	2.7%
3	6	1.5%
5	5	1.2%
7	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	208	51.9%
Lowercase Letter	141	35.2%
Dash Punctuation	52	13.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	78	37.5%
0	65	31.2%
1	39	18.8%
9	11	5.3%
3	6	2.9%
5	5	2.4%
7	2	1.0%
6	2	1.0%

Lowercase Letter

Value	Count	Frequency (%)
n	94	66.7%
a	47	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	52	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	260	64.8%
Latin	141	35.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	78	30.0%
0	65	25.0%
-	52	20.0%
1	39	15.0%
9	11	4.2%
3	6	2.3%
5	5	1.9%
7	2	0.8%
6	2	0.8%

Latin

Value	Count	Frequency (%)
n	94	66.7%
a	47	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	401	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	94	23.4%
2	78	19.5%
0	65	16.2%
-	52	13.0%
a	47	11.7%
1	39	9.7%
9	11	2.7%
3	6	1.5%
5	5	1.2%
7	2	0.5%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	56.2%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

nan	11
https://www.altbalaji.com/show/paurashpur/347	7
https://www.dr.dk/drtv/episode/tillykke-i-skal-have-trillinger_130555	6
https://www.bbc.co.uk/programmes/m000qsk1	4
https://www.iqiyi.com/a_c4m3iuc94t.html	4
Other values (36)	41

Length

Max length	86
Median length	63
Mean length	42.02739726
Min length	3

Characters and Unicode

Total characters	3068
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	42.5%

Sample

1st row	https://premier.one/show/13734
2nd row	https://www.youtube.com/channel/UCrMU71nSWHAmpb1-3wEtW8g/videos
3rd row	https://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
4th row	https://www.bilibili.com/bangumi/media/md28223064
5th row	https://v.qq.com/detail/m/7q544xyrava3vxf.html

Common Values

Value	Count	Frequency (%)
nan	11	15.1%
https://www.altbalaji.com/show/paurashpur/347	7	9.6%
https://www.dr.dk/drtv/episode/tillykke-i-skal-have-trillinger_130555	6	8.2%
https://www.bbc.co.uk/programmes/m000qsk1	4	5.5%
https://www.iqiyi.com/a_c4m3iuc94t.html	4	5.5%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.7%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.7%
http://www.iqiyi.com/a_19rrhvpyyp.html	2	2.7%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.7%
https://www.tytnetwork.com	2	2.7%
Other values (31)	31	42.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	11	15.1%
https://www.altbalaji.com/show/paurashpur/347	7	9.6%
https://www.dr.dk/drtv/episode/tillykke-i-skal-have-trillinger_130555	6	8.2%
https://www.bbc.co.uk/programmes/m000qsk1	4	5.5%
https://www.iqiyi.com/a_c4m3iuc94t.html	4	5.5%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.7%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.7%
http://www.iqiyi.com/a_19rrhvpyyp.html	2	2.7%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.7%
https://www.tytnetwork.com	2	2.7%
Other values (31)	31	42.5%

Most occurring characters

Value	Count	Frequency (%)
/	262	8.5%
t	237	7.7%
s	147	4.8%
.	137	4.5%
w	136	4.4%
a	130	4.2%
i	121	3.9%
h	119	3.9%
e	114	3.7%
o	113	3.7%
Other values (64)	1552	50.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2079	67.8%
Other Punctuation	501	16.3%
Decimal Number	292	9.5%
Uppercase Letter	119	3.9%
Dash Punctuation	45	1.5%
Connector Punctuation	19	0.6%
Math Symbol	13	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	237	11.4%
s	147	7.1%
w	136	6.5%
a	130	6.3%
i	121	5.8%
h	119	5.7%
e	114	5.5%
o	113	5.4%
p	112	5.4%
l	106	5.1%
Other values (16)	744	35.8%

Uppercase Letter

Value	Count	Frequency (%)
E	14	11.8%
A	11	9.2%
W	10	8.4%
L	8	6.7%
B	8	6.7%
P	7	5.9%
F	7	5.9%
C	7	5.9%
R	5	4.2%
D	5	4.2%
Other values (15)	37	31.1%

Decimal Number

Value	Count	Frequency (%)
0	45	15.4%
4	38	13.0%
5	38	13.0%
1	34	11.6%
3	33	11.3%
2	26	8.9%
9	22	7.5%
7	21	7.2%
8	20	6.8%
6	15	5.1%

Other Punctuation

Value	Count	Frequency (%)
/	262	52.3%
.	137	27.3%
:	62	12.4%
%	25	5.0%
?	7	1.4%
&	4	0.8%
'	2	0.4%
#	1	0.2%
!	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	11	84.6%
+	2	15.4%

Dash Punctuation

Value	Count	Frequency (%)
-	45	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2198	71.6%
Common	870	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	237	10.8%
s	147	6.7%
w	136	6.2%
a	130	5.9%
i	121	5.5%
h	119	5.4%
e	114	5.2%
o	113	5.1%
p	112	5.1%
l	106	4.8%
Other values (41)	863	39.3%

Common

Value	Count	Frequency (%)
/	262	30.1%
.	137	15.7%
:	62	7.1%
-	45	5.2%
0	45	5.2%
4	38	4.4%
5	38	4.4%
1	34	3.9%
3	33	3.8%
2	26	3.0%
Other values (13)	150	17.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3068	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	262	8.5%
t	237	7.7%
s	147	4.8%
.	137	4.5%
w	136	4.4%
a	130	4.2%
i	121	3.9%
h	119	3.9%
e	114	3.7%
o	113	3.7%
Other values (64)	1552	50.6%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	37
Distinct (%)	50.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.52054795

Minimum	2
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	2
5-th percentile	4.8
Q1	17
median	25
Q3	35
95-th percentile	76.4
Maximum	91
Range	89
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	21.59803848
Coefficient of variation (CV)	0.7316272897
Kurtosis	0.6218452034
Mean	29.52054795
Median Absolute Deviation (MAD)	9
Skewness	1.138823923
Sum	2155
Variance	466.4752664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
18	10	13.7%
6	7	9.6%
28	4	5.5%
34	4	5.5%
30	3	4.1%
27	3	4.1%
3	3	4.1%
68	2	2.7%
14	2	2.7%
19	2	2.7%
Other values (27)	33	45.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.4%
3	3	4.1%
6	7	9.6%
8	1	1.4%
10	1	1.4%
14	2	2.7%
15	2	2.7%
17	2	2.7%
18	10	13.7%
19	2	2.7%

Value	Count	Frequency (%)
91	1	1.4%
82	1	1.4%
79	1	1.4%
77	1	1.4%
76	1	1.4%
68	2	2.7%
67	1	1.4%
66	1	1.4%
65	1	1.4%
62	1	1.4%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

nan	72
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1

Length

Max length	66
Median length	3
Mean length	3.863013699
Min length	3

Characters and Unicode

Total characters	282
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.4%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	72	98.6%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	72	92.3%
name	1	1.3%
ukraine	1	1.3%
code	1	1.3%
ua	1	1.3%
timezone	1	1.3%
europe/zaporozhye	1	1.3%

Most occurring characters

Value	Count	Frequency (%)
n	147	52.1%
a	75	26.6%
'	12	4.3%
e	7	2.5%
o	5	1.8%
	5	1.8%
:	3	1.1%
r	3	1.1%
i	2	0.7%
p	2	0.7%
Other values (17)	21	7.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	252	89.4%
Other Punctuation	18	6.4%
Space Separator	5	1.8%
Uppercase Letter	5	1.8%
Open Punctuation	1	0.4%
Close Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	147	58.3%
a	75	29.8%
e	7	2.8%
o	5	2.0%
r	3	1.2%
i	2	0.8%
p	2	0.8%
z	2	0.8%
m	2	0.8%
u	1	0.4%
Other values (6)	6	2.4%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Uppercase Letter

Value	Count	Frequency (%)
U	2	40.0%
Z	1	20.0%
E	1	20.0%
A	1	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	257	91.1%
Common	25	8.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	147	57.2%
a	75	29.2%
e	7	2.7%
o	5	1.9%
r	3	1.2%
i	2	0.8%
p	2	0.8%
z	2	0.8%
U	2	0.8%
m	2	0.8%
Other values (10)	10	3.9%

Common

Value	Count	Frequency (%)
'	12	48.0%
	5	20.0%
:	3	12.0%
,	2	8.0%
/	1	4.0%
{	1	4.0%
}	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	282	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	147	52.1%
a	75	26.6%
'	12	4.3%
e	7	2.5%
o	5	1.8%
	5	1.8%
:	3	1.1%
r	3	1.1%
i	2	0.7%
p	2	0.7%
Other values (17)	21	7.4%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	61.6%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

<p>In a kingdom dominated by men, it is the ultimate battle of the sexes to win the war being waged against gender equality. Every character is grey and they must fight for what they believe is right in order to survive in Paurashpur.</p>	7
<p>Becoming parents to triplets is a big life change and a marathon of a parenting task, which puts both family and parents under pressure.</p>	6
nan	4
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>	4
<p>The world of celebrity has been transformed since the turn of the century, driven by some of the most dramatic technological and cultural developments in recent times.</p><p>This series charting the explosion in celebrity culture.</p>	4
Other values (40)	48

Length

Max length	855
Median length	437
Mean length	297.369863
Min length	3

Characters and Unicode

Total characters	21708
Distinct characters	81
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	43.8%

Sample

1st row	<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>
2nd row	<p>A humorous show where participants ' knowledge is as important as humor! The game consists of three rounds. The host reads out the beginning of a quote, poem, or fact, and the contestant must finish them either funny or correctly! The winner is the one who turns out to be the most intelligent and fun!</p>
3rd row	<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
4th row	<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>
5th row	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>

Common Values

Value	Count	Frequency (%)
<p>In a kingdom dominated by men, it is the ultimate battle of the sexes to win the war being waged against gender equality. Every character is grey and they must fight for what they believe is right in order to survive in Paurashpur.</p>	7	9.6%
<p>Becoming parents to triplets is a big life change and a marathon of a parenting task, which puts both family and parents under pressure.</p>	6	8.2%
nan	4	5.5%
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>	4	5.5%
<p>The world of celebrity has been transformed since the turn of the century, driven by some of the most dramatic technological and cultural developments in recent times.</p><p>This series charting the explosion in celebrity culture.</p>	4	5.5%
<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	2	2.7%
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	2	2.7%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.7%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>	2	2.7%
<p>Set in the 20th century Shanghai, it revolves around two women with different backgrounds and personalities who forge a deep friendship as they support each other through hard times in life. Zhu Suo Suo is born into poverty and is taken in by Jiang Nan Sun's family. From then on, the two women became close friends. After they stepped out into society, Zhu Suo Suo quickly made a name for herself in the workforce with her talents and exemplary performance. Jiang Nan Sun continues to pursue academics, earning a reputation as an intellect. However, the Jiang family later met with trouble and fell into despair. Zhu Suo Suo helps Jiang Nan Sun settle into the workforce, by assisting her with living accommodations and work opportunities. With her hard work and knowledge, Jiang Nan Sun gradually transforms into an outstanding white-collar lady.</p>	2	2.7%
Other values (35)	38	52.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	232	6.4%
and	143	3.9%
of	113	3.1%
to	105	2.9%
a	103	2.8%
in	86	2.4%
is	56	1.5%
with	47	1.3%
her	38	1.0%
they	26	0.7%
Other values (1076)	2676	73.8%

Most occurring characters

Value	Count	Frequency (%)
	3544	16.3%
e	2125	9.8%
t	1499	6.9%
n	1330	6.1%
a	1278	5.9%
i	1206	5.6%
o	1146	5.3%
r	1121	5.2%
s	963	4.4%
h	864	4.0%
Other values (71)	6632	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16544	76.2%
Space Separator	3552	16.4%
Uppercase Letter	620	2.9%
Other Punctuation	534	2.5%
Math Symbol	394	1.8%
Dash Punctuation	38	0.2%
Decimal Number	22	0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2125	12.8%
t	1499	9.1%
n	1330	8.0%
a	1278	7.7%
i	1206	7.3%
o	1146	6.9%
r	1121	6.8%
s	963	5.8%
h	864	5.2%
l	593	3.6%
Other values (18)	4419	26.7%

Uppercase Letter

Value	Count	Frequency (%)
S	69	11.1%
T	69	11.1%
A	38	6.1%
Y	37	6.0%
L	35	5.6%
W	33	5.3%
C	30	4.8%
I	30	4.8%
D	29	4.7%
H	25	4.0%
Other values (16)	225	36.3%

Other Punctuation

Value	Count	Frequency (%)
,	191	35.8%
.	177	33.1%
/	101	18.9%
'	30	5.6%
"	12	2.2%
!	11	2.1%
:	6	1.1%
?	3	0.6%
;	2	0.4%
…	1	0.2%

Decimal Number

Value	Count	Frequency (%)
2	6	27.3%
0	4	18.2%
1	4	18.2%
5	3	13.6%
7	2	9.1%
3	1	4.5%
8	1	4.5%
4	1	4.5%

Dash Punctuation

Value	Count	Frequency (%)
-	30	78.9%
—	7	18.4%
–	1	2.6%

Space Separator

Value	Count	Frequency (%)
	3544	99.8%
	8	0.2%

Math Symbol

Value	Count	Frequency (%)
<	197	50.0%
>	197	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17164	79.1%
Common	4544	20.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2125	12.4%
t	1499	8.7%
n	1330	7.7%
a	1278	7.4%
i	1206	7.0%
o	1146	6.7%
r	1121	6.5%
s	963	5.6%
h	864	5.0%
l	593	3.5%
Other values (44)	5039	29.4%

Common

Value	Count	Frequency (%)
	3544	78.0%
<	197	4.3%
>	197	4.3%
,	191	4.2%
.	177	3.9%
/	101	2.2%
'	30	0.7%
-	30	0.7%
"	12	0.3%
!	11	0.2%
Other values (17)	54	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21688	99.9%
None	11	0.1%
Punctuation	9	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3544	16.3%
e	2125	9.8%
t	1499	6.9%
n	1330	6.1%
a	1278	5.9%
i	1206	5.6%
o	1146	5.3%
r	1121	5.2%
s	963	4.4%
h	864	4.0%
Other values (65)	6612	30.5%

None

Value	Count	Frequency (%)
	8	72.7%
ó	2	18.2%
å	1	9.1%

Punctuation

Value	Count	Frequency (%)
—	7	77.8%
–	1	11.1%
…	1	11.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	48
Distinct (%)	65.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1626301833

Minimum	1604587119
Maximum	1651863266
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	712.0 B

Quantile statistics

Minimum	1604587119
5-th percentile	1608833432
Q1	1609800105
median	1619375021
Q3	1645412135
95-th percentile	1651600840
Maximum	1651863266
Range	47276147
Interquartile range (IQR)	35612030

Descriptive statistics

Standard deviation	17507557.96
Coefficient of variation (CV)	0.01076525747
Kurtosis	-1.650362256
Mean	1626301833
Median Absolute Deviation (MAD)	9839880
Skewness	0.4095542399
Sum	1.187200338 × 10¹¹
Variance	3.065145856 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1609800105	7	9.6%
1619375021	6	8.2%
1609118201	4	5.5%
1611355220	4	5.5%
1651863266	2	2.7%
1609535141	2	2.7%
1609651676	2	2.7%
1612842583	2	2.7%
1648190058	2	2.7%
1612478145	2	2.7%
Other values (38)	40	54.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1604587119	1	1.4%
1607887175	1	1.4%
1608352967	1	1.4%
1608406279	1	1.4%
1609118201	4	5.5%
1609535141	2	2.7%
1609651676	2	2.7%
1609800105	7	9.6%
1609923648	1	1.4%
1610506687	2	2.7%

Value	Count	Frequency (%)
1651863266	2	2.7%
1651838647	1	1.4%
1651615415	1	1.4%
1651591124	1	1.4%
1651261416	1	1.4%
1651253459	1	1.4%
1651253250	1	1.4%
1650908800	1	1.4%
1650750129	1	1.4%
1650312076	1	1.4%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	73
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	712.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2087588	1
https://api.tvmaze.com/episodes/2092729	1
https://api.tvmaze.com/episodes/1996798	1
https://api.tvmaze.com/episodes/2017664	1
Other values (68)	68

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	2847
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.4%
https://api.tvmaze.com/episodes/2087588	1	1.4%
https://api.tvmaze.com/episodes/2092729	1	1.4%
https://api.tvmaze.com/episodes/1996798	1	1.4%
https://api.tvmaze.com/episodes/2017664	1	1.4%
https://api.tvmaze.com/episodes/1985251	1	1.4%
https://api.tvmaze.com/episodes/1996820	1	1.4%
https://api.tvmaze.com/episodes/2068252	1	1.4%
https://api.tvmaze.com/episodes/2037532	1	1.4%
https://api.tvmaze.com/episodes/1993940	1	1.4%
Other values (63)	63	86.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.4%
https://api.tvmaze.com/episodes/2015818	1	1.4%
https://api.tvmaze.com/episodes/1964000	1	1.4%
https://api.tvmaze.com/episodes/1995405	1	1.4%
https://api.tvmaze.com/episodes/2007760	1	1.4%
https://api.tvmaze.com/episodes/1985789	1	1.4%
https://api.tvmaze.com/episodes/2039622	1	1.4%
https://api.tvmaze.com/episodes/2039623	1	1.4%
https://api.tvmaze.com/episodes/2324427	1	1.4%
https://api.tvmaze.com/episodes/2324428	1	1.4%
Other values (63)	63	86.3%

Most occurring characters

Value	Count	Frequency (%)
/	292	10.3%
p	219	7.7%
s	219	7.7%
e	219	7.7%
t	219	7.7%
o	146	5.1%
a	146	5.1%
i	146	5.1%
.	146	5.1%
m	146	5.1%
Other values (16)	949	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1825	64.1%
Other Punctuation	511	17.9%
Decimal Number	511	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	219	12.0%
s	219	12.0%
e	219	12.0%
t	219	12.0%
o	146	8.0%
a	146	8.0%
i	146	8.0%
m	146	8.0%
h	73	4.0%
d	73	4.0%
Other values (3)	219	12.0%

Decimal Number

Value	Count	Frequency (%)
2	87	17.0%
9	87	17.0%
1	68	13.3%
0	47	9.2%
8	47	9.2%
3	41	8.0%
6	37	7.2%
7	35	6.8%
4	33	6.5%
5	29	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	292	57.1%
.	146	28.6%
:	73	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1825	64.1%
Common	1022	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	292	28.6%
.	146	14.3%
2	87	8.5%
9	87	8.5%
:	73	7.1%
1	68	6.7%
0	47	4.6%
8	47	4.6%
3	41	4.0%
6	37	3.6%
Other values (3)	97	9.5%

Latin

Value	Count	Frequency (%)
p	219	12.0%
s	219	12.0%
e	219	12.0%
t	219	12.0%
o	146	8.0%
a	146	8.0%
i	146	8.0%
m	146	8.0%
h	73	4.0%
d	73	4.0%
Other values (3)	219	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2847	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	292	10.3%
p	219	7.7%
s	219	7.7%
e	219	7.7%
t	219	7.7%
o	146	5.1%
a	146	5.1%
i	146	5.1%
.	146	5.1%
m	146	5.1%
Other values (16)	949	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	2007756	https://www.tvmaze.com/episodes/2007756/stand-up-autsajd-1x11-pavel-dedisev-17-minut-serebra	Павел Дедищев "17 минут серебра"	1.0	11.0	regular	2020-12-29	12:00	2020-12-29T00:00:00+00:00	20.0	None	nan	51065	https://www.tvmaze.com/shows/51065/stand-up-autsajd	Stand Up Аутсайд	Variety	Russian	[]	Ended	40.0	28.0	2020-10-13	2020-12-31	https://premier.one/show/13734	3.0	nan	<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>	1.616719e+09	https://api.tvmaze.com/episodes/1977902
1	1987860	https://www.tvmaze.com/episodes/1987860/blic-krik-1x12-12-nurlan-saburov-t-fest-garik-oganisan-rustam-reptiloid-emir-kasokov	#12: НУРЛАН САБУРОВ, T-Fest, ГАРИК ОГАНИСЯН, РУСТАМ РЕПТИЛОИД, ЭМИР КАШОКОВ	1.0	12.0	regular	2020-12-29	12:00	2020-12-29T00:00:00+00:00	30.0	None	nan	52044	https://www.tvmaze.com/shows/52044/blic-krik	Блиц-крик	Variety	Russian	['Comedy']	Running	30.0	32.0	2019-08-20	nan	https://www.youtube.com/channel/UCrMU71nSWHAmpb1-3wEtW8g/videos	18.0	nan	<p>A humorous show where participants ' knowledge is as important as humor! The game consists of three rounds. The host reads out the beginning of a quote, poem, or fact, and the contestant must finish them either funny or correctly! The winner is the one who turns out to be the most intelligent and fun!</p>	1.645301e+09	https://api.tvmaze.com/episodes/2015818
2	2008031	https://www.tvmaze.com/episodes/2008031/lab-s-antonom-belaevym-2x10-therr-maitz	Therr Maitz	2.0	10.0	regular	2020-12-29	nan	2020-12-29T00:00:00+00:00	34.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737210.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737210.jpg'}	nan	52933	https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym	LAB с Антоном Беляевым	Documentary	Russian	['Music']	Running	26.0	25.0	2019-12-17	nan	https://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326	15.0	nan	<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>	1.641808e+09	https://api.tvmaze.com/episodes/1964000
3	1964569	https://www.tvmaze.com/episodes/1964569/core-sense-1x13-episode-13	Episode 13	1.0	13.0	regular	2020-12-29	10:00	2020-12-29T02:00:00+00:00	24.0	None	nan	51336	https://www.tvmaze.com/shows/51336/core-sense	Core Sense	Animation	Chinese	['Action', 'Anime', 'Science-Fiction']	Running	24.0	24.0	2020-10-13	nan	https://www.bilibili.com/bangumi/media/md28223064	37.0	nan	<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>	1.604587e+09	https://api.tvmaze.com/episodes/1995405
4	2052513	https://www.tvmaze.com/episodes/2052513/wu-shen-zhu-zai-1x88-episode-88	Episode 88	1.0	88.0	regular	2020-12-29	10:00	2020-12-29T02:00:00+00:00	8.0	None	nan	54033	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	Wu Shen Zhu Zai	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	8.0	8.0	2020-03-08	nan	https://v.qq.com/detail/m/7q544xyrava3vxf.html	76.0	nan	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>	1.649423e+09	https://api.tvmaze.com/episodes/2007760
5	1993658	https://www.tvmaze.com/episodes/1993658/7-days-of-romance-2x03-episode-3	Episode 3	2.0	3.0	regular	2020-12-29	nan	2020-12-29T03:00:00+00:00	15.0	None	nan	44276	https://www.tvmaze.com/shows/44276/7-days-of-romance	7 Days of Romance	Scripted	Korean	['Drama', 'Romance']	Ended	NaN	15.0	2019-10-08	2021-01-20	nan	82.0	nan	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>	1.650034e+09	https://api.tvmaze.com/episodes/1985789
6	2096302	https://www.tvmaze.com/episodes/2096302/no-turning-back-romance-1x07-7	7	1.0	7.0	regular	2020-12-29	nan	2020-12-29T03:00:00+00:00	12.0	None	nan	55002	https://www.tvmaze.com/shows/55002/no-turning-back-romance	No Turning Back Romance	Scripted	Korean	[]	Ended	NaN	12.0	2020-12-08	2021-01-06	nan	20.0	nan	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>	1.621617e+09	https://api.tvmaze.com/episodes/2039622
7	2324423	https://www.tvmaze.com/episodes/2324423/unique-lady-2x11-episode-11	Episode 11	2.0	11.0	regular	2020-12-29	12:00	2020-12-29T04:00:00+00:00	40.0	None	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2039623
8	2324424	https://www.tvmaze.com/episodes/2324424/unique-lady-2x12-episode-12	Episode 12	2.0	12.0	regular	2020-12-29	12:00	2020-12-29T04:00:00+00:00	38.0	None	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2324427
9	2068352	https://www.tvmaze.com/episodes/2068352/doomsday-awakening-2x03-episode-3	Episode 3	2.0	3.0	regular	2020-12-29	nan	2020-12-29T04:00:00+00:00	15.0	None	nan	48673	https://www.tvmaze.com/shows/48673/doomsday-awakening	Doomsday Awakening	Animation	Chinese	['Action', 'Anime', 'Science-Fiction', 'War']	Running	15.0	15.0	2018-05-24	nan	https://v.qq.com/detail/j/jaqpncskrgv28oo.html	56.0	nan	nan	1.618077e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
63	1989717	https://www.tvmaze.com/episodes/1989717/you-never-eat-alone-1x02-episode-2	Episode 2	1.0	2.0	regular	2020-12-29	22:00	2020-12-29T15:00:00+00:00	45.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/728205.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/728205.jpg'}	nan	52327	https://www.tvmaze.com/shows/52327/you-never-eat-alone	You Never Eat Alone	Scripted	Thai	['Drama', 'Comedy', 'Food']	Ended	45.0	45.0	2020-12-22	2021-03-09	https://aisplay.ais.co.th/	62.0	nan	<p>When hunger and loneliness are the same as home. Because eating alone, it's a big deal. The operation to find someone to eat also began...</p>	1.619472e+09	https://api.tvmaze.com/episodes/1998679
64	2165009	https://www.tvmaze.com/episodes/2165009/all-about-android-2020-12-29-2020-in-the-rear-view	2020 in the Rear View	2020.0	52.0	regular	2020-12-29	nan	2020-12-29T17:00:00+00:00	90.0	None	nan	17633	https://www.tvmaze.com/shows/17633/all-about-android	All About Android	News	English	[]	Running	90.0	90.0	2011-03-29	nan	https://twit.tv/shows/all-about-android	30.0	nan	<p><b>All About Android </b>delivers everything you want to know about Android each week -- the biggest news, freshest hardware, best apps and geekiest how-to's -- with Android enthusiasts Jason Howell, Florence Ion, Ron Richards, and a variety of special guests along the way.</p>	1.650312e+09	https://api.tvmaze.com/episodes/1998680
65	1968004	https://www.tvmaze.com/episodes/1968004/a-teacher-1x10-episode-10	Episode 10	1.0	10.0	regular	2020-12-29	nan	2020-12-29T17:00:00+00:00	30.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724614.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724614.jpg'}	<p>Claire and Eric have seemingly moved on with their lives, but a chance encounter brings new truths to light.<br /> </p>	38339	https://www.tvmaze.com/shows/38339/a-teacher	A Teacher	Scripted	English	['Drama']	Ended	NaN	27.0	2020-11-10	2020-12-29	https://www.hulu.com/series/a-teacher-1c871218-05b1-4c66-a22f-260b2cb9bbf9	91.0	nan	<p><b>A Teacher</b> examines the complexities and consequences of an illegal relationship between a female teacher, Claire and her male high school student, Eric. Dissatisfied in their own lives, Claire and Eric discover an undeniable escape in each other, but their relationship accelerates faster than anticipated and the permanent damage becomes impossible to ignore.</p>	1.637345e+09	https://api.tvmaze.com/episodes/1998681
66	2192627	https://www.tvmaze.com/episodes/2192627/diti-proti-zirok-2x13-vypusk-13-artem-fedeckij-masa-efrosinina-amador-lopes	Выпуск 13 (Артем Федецкий, Маша Ефросинина, Амадор Лопес)	2.0	13.0	regular	2020-12-29	19:00	2020-12-29T17:00:00+00:00	90.0	None	nan	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	['Action', 'Family']	Running	90.0	90.0	2019-09-25	nan	https://novy.tv/ua/deti-protiv-zvezd/	21.0	{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	nan	1.640953e+09	https://api.tvmaze.com/episodes/1998682
67	1979306	https://www.tvmaze.com/episodes/1979306/familiekokkene-1x06-vegetarfest	Vegetarfest	1.0	6.0	regular	2020-12-29	18:00	2020-12-29T17:00:00+00:00	60.0	None	nan	49903	https://www.tvmaze.com/shows/49903/familiekokkene	Familiekokkene	Reality	Norwegian	['Food']	Running	60.0	60.0	2020-11-27	nan	https://tv.nrk.no/serie/familiekokkene	3.0	nan	<p>Six families with different backgrounds and a big interest in food compete to become Norways best home chef.</p>	1.607887e+09	https://api.tvmaze.com/episodes/1998683
68	1977421	https://www.tvmaze.com/episodes/1977421/goede-tijden-slechte-tijden-31x70-aflevering-6325	Aflevering 6325	31.0	70.0	regular	2020-12-29	20:00	2020-12-29T19:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727577.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727577.jpg'}	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2189555
69	1994076	https://www.tvmaze.com/episodes/1994076/celebrity-a-21st-century-story-1x01-episode-one-ordinary-people	Episode One Ordinary People	1.0	1.0	regular	2020-12-29	21:00	2020-12-29T21:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727732.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727732.jpg'}	<p>The first episode examines how the Beckhams changed the model of the celebrity power couple, while the rise of reality TV led to a gigantic influx of people gaining overnight fame, fed by a press that saw an easy source of material. The programme also examines how leaked sex tapes changed the nature of celebrity scandal.</p>	52661	https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	Celebrity: A 21st-Century Story	Documentary	English	['History']	To Be Determined	60.0	60.0	2020-12-29	nan	https://www.bbc.co.uk/programmes/m000qsk1	28.0	nan	<p>The world of celebrity has been transformed since the turn of the century, driven by some of the most dramatic technological and cultural developments in recent times.</p><p>This series charting the explosion in celebrity culture.</p>	1.611355e+09	https://api.tvmaze.com/episodes/2176148
70	1994077	https://www.tvmaze.com/episodes/1994077/celebrity-a-21st-century-story-1x02-episode-two-trainwreck	Episode Two Trainwreck	1.0	2.0	regular	2020-12-29	21:00	2020-12-29T21:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727731.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727731.jpg'}	<p>Charting the story of celebrity in the late noughties, this film looks at how different groups cashed in on the public's insatiable appetite for access to the famous.</p>	52661	https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	Celebrity: A 21st-Century Story	Documentary	English	['History']	To Be Determined	60.0	60.0	2020-12-29	nan	https://www.bbc.co.uk/programmes/m000qsk1	28.0	nan	<p>The world of celebrity has been transformed since the turn of the century, driven by some of the most dramatic technological and cultural developments in recent times.</p><p>This series charting the explosion in celebrity culture.</p>	1.611355e+09	https://api.tvmaze.com/episodes/1949329
71	1994078	https://www.tvmaze.com/episodes/1994078/celebrity-a-21st-century-story-1x03-episode-three-lust-for-likes	Episode Three Lust for Likes	1.0	3.0	regular	2020-12-29	21:00	2020-12-29T21:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727729.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727729.jpg'}	<p>This film tells the story of how celebrities capitalised on a digital revolution in order to sidestep the traditional routes to fame.</p>	52661	https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	Celebrity: A 21st-Century Story	Documentary	English	['History']	To Be Determined	60.0	60.0	2020-12-29	nan	https://www.bbc.co.uk/programmes/m000qsk1	28.0	nan	<p>The world of celebrity has been transformed since the turn of the century, driven by some of the most dramatic technological and cultural developments in recent times.</p><p>This series charting the explosion in celebrity culture.</p>	1.611355e+09	https://api.tvmaze.com/episodes/1949330
72	1994079	https://www.tvmaze.com/episodes/1994079/celebrity-a-21st-century-story-1x04-episode-four-power-grab	Episode Four Power Grab	1.0	4.0	regular	2020-12-29	21:00	2020-12-29T21:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727727.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727727.jpg'}	<p>Charting the last five tumultuous years, this final episode takes us to the end of 2020 and interrogates the methods used by celebrities to get everything they want.</p>	52661	https://www.tvmaze.com/shows/52661/celebrity-a-21st-century-story	Celebrity: A 21st-Century Story	Documentary	English	['History']	To Be Determined	60.0	60.0	2020-12-29	nan	https://www.bbc.co.uk/programmes/m000qsk1	28.0	nan	<p>The world of celebrity has been transformed since the turn of the century, driven by some of the most dramatic technological and cultural developments in recent times.</p><p>This series charting the explosion in celebrity culture.</p>	1.611355e+09	https://api.tvmaze.com/episodes/1949331

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